Preliminary Experience with Three Alternative Motion Sensors for 0.55 Tesla MR Imaging

Area of Science:

• Medical Imaging and Sensing
• Biomedical Engineering
• Radiotherapy Physics

Background:

• Current motion tracking technologies have limitations, driving the need for alternative sensors.
• Interest is growing in sensors for motion tracking both inside and outside MRI systems.
• Accurate motion monitoring is crucial for image-guided procedures and treatments.

Purpose of the Study:

• To evaluate the preliminary experience with three diverse alternative sensors for motion tracking.
• To assess the capability of these sensors for monitoring body surface, organ, and deep-seated organ motion.
• To demonstrate the potential of these sensors for motion tracking outside the MRI environment, relevant for radiation therapy.

Main Methods:

• Utilized a Pilot-Tone RF transmitter with deep learning for liver motion tracking.
• Employed a single-channel ultrasound transducer with deep learning for bladder motion monitoring.
• Used a 3D Time-of-Flight camera for observing anterior torso surface motion.

Main Results:

• Ultrasound sensor effectively tracked deep-seated organ (bladder) and respiratory motion.
• 3D Time-of-Flight camera provided easy interpretation and detected surface (respiration) motion.
• Pilot-Tone RF transmitter showed efficacy in tracking respiratory and major organ (liver) motion.
• All three sensors demonstrated simultaneous motion data capture outside the MRI environment.

Conclusions:

• The evaluated sensors offer complementary motion information for applications outside the MRI bore.
• These alternative sensors show potential for motion tracking during position-sensitive treatments like radiation therapy.
• The findings support the development of advanced motion monitoring solutions for clinical applications.